Transcript
  • 1

    SDX: E2E Architecture of 5G

    Dr. Chih-Lin I CMCC Chief Scientist, Wireless Technologies

    CMRI, China Mobile

    Keynote, IEEE NetSoft 2016 June 7, 2016, Seoul, Korea

  • 2

    2

    Naming:IMT-2020 Three major application scenarios

    Traffic density

    Connection density

    Latency Mobility Energy efficiency

    10Tbps/Km2 1M/Km2 1ms AI 500Km/h 100 times

    KPIs Feature Diagrams ITU-R M.[IMT.VISION]

    Gain over 4G

    Multiple KPI sets

    User experienced data rate

    Spectrum efficiency

    Peak data rate

    0.1~1Gbps 3, 5 in some cases 10~20Gbps

    5G wishlist in terms of KPIs (ITU-R WP5D, Jun 2015)

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    3

    User experienced data rate (Gbps)

    0.1 to 1 Gbps Connection density (104/Km2)

    1 m connections/Km2

    End to end latency (ms)

    ms level

    Mobility (Km/h) 500+ Km/h

    Peak data rate (Gbps) Tens of Gbps

    Traffic volume density (Tbps/Km2)

    Tens of Gbps

    Spectrum efficiency

    Energy efficiency

    Cost efficiency

    5G 4G

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    World’s Largest 4G Network

    ~1.2M 4G BSs

    BS

    ~1.4M @2016

    Terminal Sales volume 300M+

    Types 2000+, Price

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    China Mobile 4G+ Network Development Small Cell

    High Order Modulation

    CA

    3D-MIMO

    ~ 100,000 Small BSs to be deployed in 2016

    UL: 2 CC CA, DL: 3CC CA Field test DL 2CC CA has been deployed in some provinces

    DL: 256QAM; UL: 64QAM Most of vendors support, some terminals will support in later of 2016

    3D-MIMO BS Test in 4G Commercial Network

    VoLTE

    Has been widely deployed in Commercial Network (2016)

    NB-IOT

    Aim for commercialization at end of 2017

    Wider Deeper Thicker Faster Newer Fusion

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    Carrier Aggregation in China Mobile LTE, one carrier CA Massive CA

    Up to 32 carriers

    DL, 2 CC (2D/2E/F+D)

    Small Cell, DL, 2 CC (2D)

    DL, 3 CC (F+2D/3D)

    DL, 4 CCs (F+3D)

    Marco BS DL 2 CC CA (D+D) have been deployed in some provinces , 2nd half of 2015 Filed Test initiated, 2

    nd half of 2015

    China Mobile has deployed CA in its network

    UL, 2 CC (2D/2E/F+D)

    DL, FDD + TDD

    Begin studying, commercial UE required

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    World’s First 128 Ant BS Deployment in 4G Network

    China Mobile, Shanghai,Sep.18,2015

    Targets: 3D coverage, deep coverage, thp improve

    Location: urban district with high buildings (ChangShou Road, Shanghai)

    Scheme (high-rise):

    BS (25m), aims to cover a 75m building & neighbouring roads

    Tech: 3D beamforming & multi-sector networking

    Thp Freq& BW SE 2.6G&20M 630 Mbps Up to 43bit/Hz 4G commercial. terminals 5~6x improve

    Massive MIMO (128 ant.) Pre-com. Product.

    CMCC 128-Ant mMIMO 4G BS in Shanghai

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    Green Communication Research Center established in Oct. 2011, initiated 5G Key Tech R&D.

    Rethink Fundamentals --- Softwarization

    Rethink Shannon

    Rethink Ring & Young

    Rethink Signaling & Control

    Rethink Antenna

    Rethink Spectrum & Air Interface

    Rethink Fronthaul

    Rethink Protocol Stack

    To start a green journey of wireless systems

    For no more “cells”

    To make network application/load aware

    To make BS “invisible”

    To enable wireless signal to “dress for the occasion ”

    To enable Soft RAN via NGFI

    To enable User Centric Cell and real-time flexible air interface

    1. “Towards Green & Soft: A 5G Perspective” IEEE Comm. Magazine, Vol.52, Feb.2014

    2. “5G: rethink wireless communication for 2020+” Philosophical Trans. A. 374(2062), 2015

    3. “New paradigm of 5G wireless internet” IEEE JSAC, vol.34, no.3, March 2016

    Green

    Soft

    Super Fast

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    5G: UCN + SDAI

    SDAI UCN +

    2G

    OFDM + MIMO

    TDMA

    CDMA SDAI: Software defined Air Interface UCN: User Centric Network NMC: No More “Cells”

    (NMC)

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    Unified RAN architecture + Common high layer protocol (UCN, enabled by C-RAN/NGFI)

    High Freq. RIT

    Low Freq. New RIT

    Massive-MTC RIT

    Mission-Critical RIT

    PTN PON Transportation network

    Core Network

    Low-latency & high-reliability

    Seamless wide-area coverage

    Hotspot & high data rate

    Low-power & massive-connections

    SDN/NFV

    Green and Soft

    SDAI (enabled by MCD)

    LTE evolution Low freq. eMBB NB-IOT Latency redu. V2X

    E2E 5G System Architecture: SDX

    RAN

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    Framework of radio access network

    User Centric RAN (UCN) of 5G …

    Big Data based SON: high

    efficient O&M

    Cloud-RAN: More powerful Platform

    Seamless mobility: reduced handover delay and

    interruption time

    Local data processing: Ultra low latency

    Flexible functional split: adaptability to diverse deployment scenarios

    Intelligent awareness : satisfactory service

    requirements

    RAN restructure, CN-RAN Repartition , Turbo Charged Edge , Network Slice as a Service

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    C-RAN paved the way to RAN Revolution (CMCC, 2009)

    RRU

    RRU

    RRU

    RRU

    RRU

    RRU

    RRU

    Virtual BS Pool

    Distributed RRU

    High bandwidth optical transport

    network

    Real-time Cloud for centralized processing

    … Centralized Control and/or Processing Centralized processing resource

    pool that can support 10~1000 cells

    Collaborative Radio Multi-cell Joint scheduling and

    processing

    Real-Time Cloud Target to Open IT platform Consolidate the processing resource

    into a Cloud Flexible multi-standard operation

    and migration

    Clean System Target Less power consuming Lower OPEX Fast system roll-out

    “Soft BS ” in C-RAN virtualization/Cloudization

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    • ETSI NFV ISG (2012) − NOC member − Use cases and rrequirements input on

    accelerator, license management, policy management, hardware IOT etc.

    − Work item prioritization (acceleration, MANO architecture etc)

    − PoC on C-RAN virtualization − Contributions on WP 1.0 & 4.0

    ETSI NFV ISG and OPNFV

    NFV PoC #7: C-RAN virtualization with dedicated hardware accelerator • Demonstrated in Mobile Asia Expo in June in

    Shanghai and SDN & Openflow World Congress in October in Germany (2014)

    • Multi-mode, multi-carrier virtualized systems with L3 live migration

    • OPNFV (2014) − Platinum and board member

    − OPNFV lab in CMCC (Jan 2015)

    − Lead on HA project, contributing on the scenarios, requirements and gap analysis which are integrated into OPNFV Brahamaputra release

    − Lead on DPACC project, finishing the architecture, requirements and gap analysis

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    The Latency Frontier of RAN Virtualization

    • Field trial in 2015

    • RAN virtualization: one of the use cases in ETSI NFV ISG

    • Imposes more critical challenges on NFV platform

    • Commitment since 2013 – Optimization on interrupt latency:

    Average 4us v.s. ~100us for traditional system

    – Optimization on platform processing latency: 25~30us v.s. 300~500us in traditional Linux system

    – Optimization on VM communication latency: ~10us v.s. ~100us in traditional Linux system

    • NFV-compliant C-RAN implementation – VM realization of LTE – Key technologies adopted

    • RT enahncement: RT-Linux, DPDK, OVS • Effeciency improvement: RT-KVM • Management: Openstack

    NIC NIC

    Share Mem LTE OAI

    RAL

    avp_kni netdev

    OVS DPDK

    Host kernel space

    DPDK

    Host user space

    Guest kernel space Guest user space

    DPDK

    Compute Node VM

    Ethernet RRU EPC

    C-RAN Virtualization field testbed @

    Tsinghua University

    Testbed: • 1 TD-LTE macro

    outdoor BS • 18 TD-LTE indoor

    BSs • 1 GSM outdoor

    BS • Area : 0.8km^2, • General

    Server/Switch based BBU pool (with PHY1 accelerators)

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    TIC & Open-O (Feb 23, 2016)

    Open-O Project officially announced in GTI (China Mobile, Huawei, Linux Foundation)

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    Turbo Charged Edge: MEC • Service on Edge Demo (MWC2014)

    • ETSI MEC ISG: Founded in Sep. 2014, 36 members and 18 participants so far

    CMCC-Intel joint PoC (VIP Video) in Dec. 2015

    CMCC became a participant in April 2016

    • Current status: Study on architecture & depolyment solution in our commercial networks

    Field trials on multi-visual-angle live program of competitive sports (F1 Shanghai)

    Cache, M-CDN and LBO Cache:16% saving on transport bandwidth, 26.7% reduction on video buffering and 71% increase of DL rate

    Multi-visual-angle live program of competitive sports:more than 90 small cells, maximum 100 users in service, 0.5s

    latency compared to live broadcast

    • Next step To develop enterprise technical specification and accelerate MEC commercialization

    Ecosystem promotion

    PoC: Video optimization for VIP users

    0.5s latency with MEC compared with live broadcast

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    C-RAN & NGFI (xHaul): Road towards 5G RAN Architecture

    4G C-RAN trials & deployment

    Winner of Best Overall RAN Initiative of RANNY Awards

    C-RAN centralization as a preferred deployment solution in CMCC’s “Network Deployment Guidance” • Deployment & trials in more than 10 cities since 2013 • 2016 deployment plan: extension to 7 provinces and cities • One province of the scale of around 2000 sites • Performance improvement: CA gain: 83%~ 95%; UL CoMP

    gain: 50% ~ 300%

    Radio CP Anchor

    HW Pool

    Hypervisor VIM

    SDN Control

    VNFM Radio CP Anchor

    Radio UP Anchor

    RAN Orchestration Centralization: Networking Preparation for 5G

    Current Cloud-RAN: Virtualization (with MANO) & NGFI

    Future

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    下一代前传网络接口 白 皮 书

    White Paper of Next Generation Fronthaul Interface

    Version 1.0

    June 4th, 2015

    China Mobile Research Institute Alcatel-Lucent

    Nokia Networks ZTE Corporation

    Broadcom Corporation Intel China Research Center

    White Paper on NGFI released in June 2015

    NGFI Status •1st NGFI WS held & NGFI WP released in June, 2015

    - MoU signing with Broadcom, Intel, Alcatel-Lucent, HuaWei, ZTE, Nokia, Xilinx & Altera • Co-founder of IEEE 1904.3 • NGFI as the key component in NGMN 5G WP, FuTURE 5G WP • NGFI/FH promotion and study in ITU-T, IEEE and 3GPP • NGFI Paper in IEEE Communication Magazine & GLOBECOM 2015

    -

    NGFI feasibility study with Xilinx

    “Rethink Fronthaul for Soft RAN”, IEEE Comm. Mag. 2015

    “NGFI, The xHaul”, GLOBECOM 2015

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    IEEE 1914 NGFI WG • Approved in Feb. 2016 • Lead by CMCC with co-founders of:

    • Target: efficient & scalable fronthaul

    transport networks for 5G

    Sponsor: COM/SDB

    NGFI 1914 WG

    P1914.1 ?? 1914.3

    • The first NGFI WG meeting on 27 – 28 April, San Jose, with more than 45 participants

    • Policy & procedure draft • Working scope discussion • Invited speeches • LS to 3GPP

    P1914.1

    P1914.3

    802.1 CM Use cases & scenarios, Architecture, requirements

    RoE encapsulation

    To specify the solutions

    input

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    5G Network Architecture for 2020 and beyond

    Optimized protocol Mobility/session management, QoS, interface…

    Challenges: variant view across industry, system design and standardization across SDOs with tight 5G timeline China Mobile is working together with key partners on solution development and testing

    New Platform

    New Networking

    New Capability

    New Protocol

    New Function

    NFV/SDN enables flexible and programmable network & functions

    Network Slicing Vertical & customized network support

    In Network Service (INS) Content integration, capability exposure enable e.g., MEC

    CU Separation Converged control plane and distributed user plane

    Data MANO Openness

    optimizer content

    Access cloud Traffic Forwarding

    Open interface

    Traffic Processing

    Open Interface

    Control Function Composer

    DPI/Charging User Plan

    e

    MM SM

    QoS Interface

    China Mobile view 5G as an opportunity to achieve a flexible, efficient, scalable and programmable network toward “Telecommunication 4.0” era

    AAA

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    Network Slice as a Service

    • Identified 28 High-level requirements

    • Defined 20 key issues

    • Some of the key issues are considered as

    the basic design of 5G

    1. Network Slicing

    2. Mobility management

    3. QoS framework

    4. Session Management

    5. User plane selection and session

    continuity

    6. Network function granularity and

    interactions

    7. Authentication framework

    8. Policy

    • Some solution proposed already for these

    key issues

    After 5 meetings since 2015. Nov., 35% progress has been made

    Figure: Reference point naming

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    SPTN: SDN Packet Transport Networks

    2G/3G/LTE backhaul

    10GE

    Backbone

    MME

    SGW

    Metro Access

    Enterprise customer 40GE 100GE

    Services

    End to End network solution, volume>1,000,000 PTN nodes

    SDN: Open · Intelligence · virtualization

    OAM · QoS · sub50ms-Protection

    Next-gen PTN: Smart and centralized Control

    High resources utilization Fast provisioning

    Smooth migration

    1

    2

    3

    4

    SPTN

    Internet user experience

    Carrier-grade services PTN:

    SPTN application scenarios in CMCC Network

    SPTN basic conception

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    Software defined Air Interface (SDAI)

    SDAI:configurable for verticals

    Spectrum

    Configurable functions and parameters

    Multiple access

    Modulation and coding Beamforming

    Frame structure Duplex

    Scenarios and service

    Flexible and efficient

    mMIMO/hybrid BF

    • Hybrid beamforming • Coverage enhancement • Capacity enhancement

    TTI

    Carrier

    DL control UL control DL/UL data

    Flexible frame structure New waveform

    • Low out of band emission • Support for asynchronous transmission

    Hybrid multiple access

    • Unified framework • Capacity enhancement • Spectral efficiency improvement

    • Flexible DL/UL and duplex • Scalable bandwidth and TTI • Latency reduction

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    Hotspot

    High Speed High Freq

    band

    mMTC

    uMTC

    eMBB

    Low Freq band

    IoT

    Typical deployment scenarios of SDAI Evaluation scenarios

    (IMT-2020 PG Requirement WG)

    Typical Scenarios of SDAI

    InH

    Dense Urban

    Urban Coverage

    Rural Coverage

    High Speed

    Massive Connection

    Auto-driving

    Industrial Control

    Hotspot

    Wide Coverage

    eMBB

    mMTC

    URLLC

    IoT

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    Demo SDAI Concept Step by Step

    Channel Coding &

    Modulation

    Data Bit Interface

    Multiple Access Coding

    Spatial Processing

    Frequency Multiplexing Waveform

    Frame Structure

    Pilot and System signalization

    MAC controller

    De- Framing

    Waveform Receiver

    Signal Detection (Spatial/Code) (advanced receivers: SIC/MPA)

    Demodulation & channel

    decoding

    Data Bit Interface

    Sync Channel Estimator

    First Stage Second Stage

    OFDM/UFMC/ GFDM/FBMC CP length, Filter, Subcarrier bandwidth

    LSAS Hybrid digital-analog MU-MIMO /MIMO NOMA

    SCMA/MUSA, NOMA/PDMA Overloading factor Spreading Codeword

    Coverage

    SE & EE

    Latency ……

    Service type & scenario

    CSI

    Connection

    …… Context Information

    System Utility Function

    Domain Transformation

    Domain Inverse

    Transformation

    Delay/Dopper/ Angle spread domain signal processing

    Duplex Module

    channel

    TDD/FDD/ Full Duplex

    RF

    RF

    Second Stage

    Duplex Module

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    U U U U U U U U

    D D D D D D D D

    t

    f

    f2

    f1

    D D D D U U U U

    t

    f

    f0

    FDD

    TDD

    D/U D/U D/U D/U D/U D/U D/U D/U

    t

    f

    f0Full

    Duplex

    U U D/U D/U D D D D

    D D U U D/U D/U D D

    t

    f

    f1

    f0

    XDD

    D D U UD/U D/U D Df2

    SDAI Key Tech Progress

    Single/Fixed Flexible/Configurable

    Flexible Duplex Mode Flexible Spatial Processing

    DAC

    DAC

    .

    .

    .

    Antenna 0Transceiver 0

    Transceiver N-1

    (a) Generalized BF Structure

    Antenna Nx-1

    A...

    S0(t)

    SNt-1(t)

    D

    .

    .

    .

    DAC

    DAC

    .

    .

    .

    Antenna 0

    S0(t)

    PA

    D

    Transceiver 0

    Transceiver N*M-1

    (b) Digital BF

    Antenna N*M-1

    PA

    AD...

    DAC

    DAC

    .

    .

    .

    Antenna 0

    Antenna (N*M-1)

    S0(t)

    Transceiver 0

    Transceiver N-1

    (c) Hybrid BF Type 1

    PAPA

    PAPA

    .

    .

    .

    DAC

    DAC

    .

    .

    .

    Antenna 0

    Antenna (N*M-1)

    S0(t)

    00w

    10Mw −

    01Nw −1

    1MNw

    −−

    PAPA

    PAPA

    Antenna (M-1)

    Antenna ((N-1)*M)

    .

    .

    .

    .

    .

    .

    D

    A0

    AN-1

    Transceiver 0

    Transceiver N-1

    (d) Hybrid BF Type 2

    SNt-1(t)

    SNt-1(t)

    SNt-1(t)

    • Various beamforming structures and schemes • Unified signaling scheme • Unified reference signal design and feedback scheme

    Flexible Frame Structure Flexible Waveform

    Flexible Multiple Access

    Non-orthogonal Uplink Multiple Access with K users spreading over N resource elements

    ChannelEncoding

    ChannelEncoding

    ChannelEncoding

    user1

    user2

    User K

    NMAEncoder

    NMAEncoder

    NMAEncoder

    Function Node

    Variable Node

    Frequency

    Time

    Advanced Receiver

    (SIC/MPA)

    ConstellationOptimization

    Factor Graph

    * * *

    * *

    00 01 10 11

    0 0 0 00 0 0 0

    0

    a d d a

    d a e

    − −

    Example

    SCMA: sparse factor graph+ multi-dimensional constellationPDMA: factor graph with diversity optimization +traditional modulationMUSA: factor graph based on{-1,0,1}+constellation optimization

    ……

    Unified New MA Architecture

    Dynamic subframe configuration for UL/DL via broadcast or unicast signaling

    Dynamic frame structure

    To better match DL/UL traffic Need careful frame structure design Complicated networking and interference

    management

    Compatible Low Complexity Unified implementation architecture

    Example of waveform configurations for different scenarios

    Waveform configuration for

    Different time/freq resources within each carrier

    Different component carrier

    Different scenarios

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    Rethink Protocol Stack for 5G

    : C/U definition 1.Control Plane: Combination of RRC (slow control) and MAC (fast control) 2.User Plane: dynamic centralized and distributed function definition

    Dynamic configuration 1.FC-MAC control DRC and RLC dynamically based on RRC signaling 2. DRC flexible control:a) Independent entity; b) new function for PDCP;c)new function for RLC

    MCD: Multi-level Centralized and Distributed

    No More “Cell”: Decoupling “UE” from “Cell”

    Cell

    Frequency

    Space

    Radio Resource within one TTI

    Time Four-dimension Radio Resource: Time Cell Frequency Space

    UE set

    C-plane

    5G protocol stack

    D-plane

    Cell set

    Four-dimension Architecture: Cell set UE set C-plane D-plane

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    Six Tech Proposals for 5G (to IMT2020 PG, Oct 31, 2015)

    NGFI

    E2E Network Arch UCN

    SDAI

    MCD

    C-RAN

    RRU

    RRU RRU

    RRU

    RRU

    RRU

    RRU

    Virtual BS Pool

    Distributed RRU

    High BW optical transport network

    Real-time Cloud for centralized

    processing

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    FuTURE 5G SIG

    • FuTURE 5G SIG launched in Mar. 2014 • FuTURE 5G WP 1.0 (Nov 6, 2014): • FuTURE 5G WP 2.0 series (Nov 6, 2015) - FuTURE 5G WP 2.0

    - Topical WP 2.0a to 2.0g - Topical WP 2.0h:5G High Mobility (June 3, 2016)

    White Paper V2.0, 2015. 11

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    CMCC 5G Activities

    • ITU: - 8 KPIs proposed by China adopted by ITU-R; - Co-lead ITU-T IMT-2020 FG work and contribute to the network softwarization paper and gap analysis.

    • IEEE: - IEEE 1914 NGFI WG led by CMCC officially launched in Feb. 2016; - Contribution on White Paper of IEEE SDN Initiative.

    • NGMN: - Lead in 5G requirements study, actively contributed tech & network architecture study, & jointly issued NGMN 5G WP; - As NGMN representative, providing Operators’ vision on 5G scenarios & tech requirements to 3GPP & ITU.

    • ETSI NFV : - Founding member of NOC; Extended NFV scope from CN only to E2E including RAN; - Contribution on NFV WP 1.0 to 4.0; - PoC contribution to demonstrate vRAN capability; - Prioritization on feature proposals for NFV 2016 planning, feedback on NFV stage 3 planning etc.

    • CCSA - Lead in CCSA NGFI study Item, contribution on NGFI study report; - Actively involved in candidate high freq study, including channel measurements; - Actively involved in dedicated spectrum study for V2V.

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    CMCC 5G Activities in 3GPP 3GPP:

    - 3GPP SA2, lead in the 5G network architecture design SI - “Study on Architecture for Next Generation System” SI led by CMCC approved on Oct. 22, 2015 with 48

    companies’ co-signature(expected reach to 55 companies in SA plenary). It is the first large-project related to 5G standardization led by China;

    - Already developed 28 high-level requirements, 19 key issues (9 of them are basic), initial high level architecture, candidate solutions.

    - 3GPP SA1, lead in “SMARTER-Network Operation (NEO)” SI - SMARTER: New Services and Markets Technology Enablers

    - 3GPP 5G RAN Standardization Timeline - Sep. 2015, SI on high-freq channel modeling initiated;

    - Dec. 2015, 5G requirements SI initiated (CMCC lead);

    - Mar. 2016, 5G technology SI initiated (~50 submissions from RAN1 to RAN4); - Mar. 2016, “Study on Context Aware Service Delivery in RAN” Initiated (CMCC lead) in RAN3

    - Sep 2015, RAN 5G workshop: - Phase 1 WI to be completed at the 2nd half of 2018, targeting network deployment at 2020; - Phase 2 WI to be completed at end of 2019, for ITU spec submission deadline with all the requirements satisfied.

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    NGMN 2014 PT/EXPO 2014

    IMIC 2014

    China Mobile 5G Prototype Demo (2014-2015)

    2015.3, C-RAN live carrier migration & SmarTile based Invisible BS

    2015.9 Mini C-RAN 2015.9 SDAI first-phase demo

    2014.2, Greener and Softer Network

    MWC2014 MWC2015 PT/EXPO China 2015

    GSMA 2014

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    China Mobile 5G Prototype Demo (MWC2016)

    SDAI/Smartile 2.0: CMCC & Cobham/Keysight/R&S/Sunnad

    Mini C-RAN/NGFI: CMCC & Intel/WindRiver

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    5G key tech. validation, prototype and initial trials 2015Q1 2015Q2 2015Q3 2015Q4

    Massive MIMO (128TX)

    3D-MIMO in single site (128TX, Huawei, ZTE)

    3D-MIMO pre-commerial products

    Full Dulplex (Interference

    cancellation 102dB)

    High Frequency (6GHz-30GHz)

    SDAI

    Prototype and tests (Huawei, UESTC @chengdu)

    ZTE(@Shanghai,15GHz)、UESTC(@Chengdu,26GHz)、Huawei@Chengdu(Ka/E/V band)

    Cooperate with Huawei, ZTE, Datang Mobile, Cobham

    TI、MACOM、Qorvo、 MURATA Chipset Device

    (3D-MIMO、High frequency)

    Full Dulplex Prototype

    2016Q4

    2015Q4

    2016Q4

    2016Q4

    2016Q4

    2016Q1 2016Q2 2016Q3

    3D-MIMO in scale (ZTE @shanghai, Huawei@Shanghai, Datang

    Mobile@beijing)

    Multiple Access (SCMA, PDMA, MUSA )

    ZTE(@shanghai,MUSA)、Huawei(@chengdu,SCMA)、Datang Mobile(@Beijing,PDMA) 2016Q4

    Waveform (F-OFDM, FB-OFDM )

    ZTE(@shanghai,FB-OFDM), Huawei(@chengdu,F-OFDM) 2016Q4

    UDN ( ≥8 eNBs, ≥ 10 UEs) Datang Mobile @Beijing

    2016Q4

    Channel coding (Polar code) Huawei@Chengdu

    2016Q4

    High Frequency Prototype

    Ericsson、Nokia、Huawei User Centric Network

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    5G Reshapes the Industry

    SDX

    C-RAN NGFI SDAI MCD

    SDN/NFV

    Traditional stakeholders - CMCC, Vodafone, DoCoMo,… - Ericsson, Huawei, ZTE, ALU, Nokia, … - Qualcomm, Marvel, MTK, SPR, … - Freescale, Ti, … - …

    New stakeholders - Intel, ARM, Xilinx, Altera, … - IBM, Inspur, Lenove, Cisco… - Windriver, Vmware, - Open Source community - Premises owner Service venders on the soft/open

    platform (OTT, MVNO, …)

    Vertical, Individual Consumers

    Open5G?

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    Open X: the open source communities for soft networks

    • Radio technologies

    • Transport • Core • Security platform

    • Architecture • Communication • Manageability • Security • SW infrastructure • Testbeds

    • ONOS • CORD • OVX • Mininet • XOS

    • Access • Backhaul • Core

    Tools and platforms for SDN

    Reimagine the traditional approach to building and deploying telecom network infrastructure

    Open platform&technologies for 5G

    Accelerate the adoption of fog computing for IoT

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    Big Data Analytics for Network Optimization

    UE QoS UE Location

    Network configuration & traffic data BSs Energy Model

    INPUT

    S-cell List Traffic Distribution

    Total Energy Forecast OUTPUT

    MCES (Multi-RAT Cooperation Energy-saving System)

    NETINCUBE LTE Network Performance Optimization SSA (Smart Signaling Analyzer) Based on terminal road-test data

    Completed at the end of 2015 Completed in Oct. 2014

    Completed at the end of 2015

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    38

    Summary • World’s Largest 4G/4G+ Network: ~1.2M BSs, ~377M Subscribers

    • 5G Era: Fully Mobilized & Connected Society

    • 5G KPIs: Performance + Efficiency/Agility

    • Themes: Green, Soft, and Super Fast • Technology Pearls: Rethink Fundamentals

    • E2E 5G: SDX

    • Enabling Tech: SDN/NFV, C-RAN/NGFI, and SDAI/MCD

    • Sample Demo: • Service on Edge (MEC) on Greener & Softer Network (MWC2014) • Live Migration on Virtualized C-RAN, Invisible BS (mMIMO) with SmarTile (MWC2015) • SDAI /SmarTile 2.0 (MWC2016 ), Mini C-RAN/NGFI (MWC2016)

    • Verticals, Open 5G (Open-O) & Big Data (CMCC 7K TB/day) • SDO’s, Fora & Alliances

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    Thank you!

    [email protected]

    幻灯片编号 1幻灯片编号 2幻灯片编号 3幻灯片编号 4幻灯片编号 5幻灯片编号 6幻灯片编号 7幻灯片编号 8幻灯片编号 9幻灯片编号 10幻灯片编号 11C-RAN paved the way to RAN Revolution (CMCC, 2009) 幻灯片编号 13幻灯片编号 14幻灯片编号 15幻灯片编号 16幻灯片编号 17幻灯片编号 18幻灯片编号 19幻灯片编号 20幻灯片编号 21幻灯片编号 22幻灯片编号 23幻灯片编号 24幻灯片编号 25幻灯片编号 26幻灯片编号 27幻灯片编号 28幻灯片编号 29幻灯片编号 30幻灯片编号 31幻灯片编号 32幻灯片编号 33幻灯片编号 34幻灯片编号 35幻灯片编号 36幻灯片编号 37幻灯片编号 38幻灯片编号 39


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